I've spent the last 12 months replacing parts of my workflow with AI tools — and quietly putting half of them back. Here's the honest ranking nobody on LinkedIn will give you.
Every "Top AI tools" list reads like a sponsored deck. This one isn't. I rated each tool on three things: does it actually save time, does it create new bugs, and would I pay for it with my own money. Here's the grid.
10. Auto-commit message generators
Cute. Saves 4 seconds. Still writes "Update files" half the time. Verdict: skip.
9. AI-powered regex builders
Genuinely useful for the 3 times a year you write regex. The rest of the time you forget they exist.
8. Inline doc generators
Great for boilerplate JSDoc. Terrible for explaining why code exists — which is the only doc that matters.
7. AI test generators
They write tests that pass. They do not write tests that catch bugs. Big difference.
6. PR review bots
Good at nitpicks, bad at architecture. Use them as a linter, not a reviewer.
5. Local LLM assistants (Ollama + Continue)
Slower than cloud, but the privacy story is real. The first time a client asks "where does our code go?" you'll be glad you set this up.
4. Agentic IDEs (Cursor, Windsurf, etc.)
Genuinely changes how I work — for small, well-scoped tasks. For anything spanning more than 3 files, I still drive manually.
3. Claude / GPT in a side window
The "rubber duck that actually talks back" use case is underrated. 70% of my AI value comes from this, not from autocomplete.
2. Smart autocomplete (Copilot-style)
Boring. Reliable. The one tool I'd actually miss if it disappeared tomorrow.
1. The "ask before you scaffold" habit
Not a tool — a habit. Asking an LLM to critique your plan before you write code has saved me more hours than any autocomplete ever has.
What's on your list that isn't on mine? And more importantly — what did you quietly stop using?
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